Advances In The Convergence Of Blockchain And Artificial Intelligence
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Advances in the Convergence of Blockchain and Artificial Intelligence
Author: Tiago M. Fernández-Caramés
language: en
Publisher: BoD – Books on Demand
Release Date: 2022-01-12
Blockchain (BC) and artificial intelligence (AI) are currently two of the hottest computer science topics and their future seems bright. However, their convergence is not straightforward, and more research is needed in both fields. Thus, this book presents some of the latest advances in the convergence of BC and AI, gives useful guidelines for future researchers on how BC can help AI and how AI can become smarter, thanks to the use of BC. This book specifically analyzes the past of BC through the history of Bitcoin and then looks into the future: from massive internet-of-things (IoT) deployments, to the so-called metaverse, and to the next generation of AI-powered BC-based cyber secured applications.
Machine Learning Approaches for Convergence of IoT and Blockchain
Author: Krishna Kant Singh
language: en
Publisher: John Wiley & Sons
Release Date: 2021-08-10
MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.
Blockchain and AI Technology in the Industrial Internet of Things
Author: Subhendu Kumar Pani
language: en
Publisher: Engineering Science Reference
Release Date: 2020-11
"With blockchain technology and artificial intelligence fueling the concept and growth of the Industrial Internet of Things, this book investigates the intersection of information science, computer science, and electronics engineering as it ushers in a new era for industrial and manufacturing companies"--